Data Science Senior Director

Job Description

Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. With proven technology, we process the largest volume of payments in the world, driving the global economy every day. When you join Worldpay, you join a global community of experts and changemakers, working to reinvent an industry by constantly evolving how we work and making the way millions of people pay easier, every day.

What makes a Worldpayer? It’s simple: Think, Act, Win. We stay curious, always asking the right questions to be better every day, finding creative solutions to simplify the complex. We’re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open – winning and failing as one.  Are you ready to make your mark? Then you sound like a Worldpayer!

About the role:

We are seeking a strategic and visionary Senior Director of Data Science to lead our Fraud Prevention Program. This role will oversee the development and execution of advanced analytics, machine learning models, and data-driven strategies to detect, prevent, and mitigate fraud across the organization. The ideal candidate will combine deep technical expertise with strong leadership and cross-functional collaboration skills to drive innovation and safeguard our business and customers.

Key Responsibilities:

• Strategic Leadership
  • Define and execute the data science roadmap for fraud detection and prevention.
  • Align fraud analytics initiatives with enterprise risk management and compliance goals.
  • Lead and mentor a high-performing team of data scientists, analysts, and engineers.

• Fraud Analytics & Modeling
  • Develop and deploy predictive models and anomaly detection systems using machine learning and statistical techniques.
  • Monitor model performance and continuously improve accuracy and efficiency.
  • Leverage big data platforms and real-time analytics to identify emerging fraud patterns.

• Cross-Functional Collaboration
  • Partner with Fraud Operations, Compliance, IT, and Legal teams to ensure alignment and effective implementation of fraud strategies.
  • Communicate insights and recommendations to executive leadership and stakeholders.

• Governance & Compliance
  • Ensure data science practices adhere to regulatory requirements and internal policies.
  • Establish model governance frameworks and documentation standards.

• Innovation & Thought Leadership
  • Stay abreast of industry trends, emerging technologies, and regulatory changes.
  • Represent the organization at industry forums and contribute to thought leadership in fraud analytics.

What you Bring:

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related field.
• 5+ years of experience in data science, with at least 3 years in fraud analytics or risk management.
• Proven leadership experience managing teams and complex projects.
• Expertise in Python, R, SQL, Spark, and machine learning frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
• Strong understanding of fraud typologies, financial crime, and regulatory environments.
• Excellent communication, stakeholder management, and strategic thinking skills.

What we offer you:

• A competitive salary and benefits
• A variety of career development tools, resources and opportunities
• The chance to work on some of the most challenging, relevant issues in the payment

#LI-BJ1

Privacy Statement

Worldpay is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Worldpay protects personal information online, please see the Online Privacy Notice.

EEOC Statement

Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. T